Abstract: Factors affecting the fragmentation pattern of cell-free DNA (e.g., plasma DNA) and the applications, including those in molecular diagnostics, of the analysis of cell-free DNA fragmentation patterns are described. Various applications can use a property of a fragmentation pattern to determine a proportional contribution of a particular tissue type, to determine a genotype of a particular tissue type (e.g., fetal tissue in a maternal sample or tumor tissue in a sample from a cancer patient), and/or to identify preferred ending positions for a particular tissue type, which may then be used to determine a proportional contribution of a particular tissue type.

Abstract: Various embodiments are directed to applications (e.g., classification of biological samples) of the analysis of the count, the fragmentation patterns, and size of cell-free nucleic acids, e.g., plasma DNA and serum DNA, including nucleic acids from pathogens, such as viruses. Embodiments of one application can determine if a subject has a particular condition. For example, a method of present disclosure can determine if a subject has cancer or a tumor, or other pathology. Embodiments of another application can be used to assess the stage of a condition, or the progression of a condition over time. For example, a method of the present disclosure may be used to determine a stage of cancer in a subject, or the progression of cancer in a subject over time (e.g., using samples obtained from a subject at different times).

Abstract: Methods are provided to improve the positive predictive value for cancer detection using cell-free nucleic acid samples. Various embodiments are directed to applications (e.g., diagnostic applications) of the analysis of the fragmentation patterns and size of cell-free DNA, e.g., plasma DNA and serum DNA, including nucleic acids from pathogens, including viruses. Embodiments of one application can determine if a subject has a particular condition. For example, a method of present disclosure can determine if a subject has cancer or a tumor, or other pathology. Embodiments of another application can be used to assess the stage of a condition, or the progression of a condition over time. For example, a method of the present disclosure may be used to determine a stage of cancer in a subject, or the progression of cancer in a subject over time (e.g., using samples obtained from a subject at different times).

Abstract: Various embodiments are directed to applications (e.g., classification of biological samples) of the analysis of the count and size of cell-free nucleic acids, e.g., plasma DNA and serum DNA, including nucleic acids from pathogens, such as viruses. Embodiments of one application can predict if a subject previously treated for a pathology will relapse at a future time point. Targeted sequencing (e.g., specifically designed capture probes, amplification primers) can be used to identify DNA across the entire viral genome.

Abstract: Factors affecting the fragmentation pattern of cell-free DNA (e.g., plasma DNA) and the applications, including those in molecular diagnostics, of the analysis of cell-free DNA fragmentation patterns are described. Various applications can use a property of a fragmentation pattern to determine a proportional contribution of a particular tissue type, to determine a genotype of a particular tissue type (e.g., fetal tissue in a maternal sample or tumor tissue in a sample from a cancer patient), and/or to identify preferred ending positions for a particular tissue type, which may then be used to determine a proportional contribution of a particular tissue type.

Abstract: Factors affecting the fragmentation pattern of cell-free DNA (e.g., plasma DNA) and the applications, including those in molecular diagnostics, of the analysis of cell-free DNA fragmentation patterns are described. Various applications can use a property of a fragmentation pattern to determine a proportional contribution of a particular tissue type, to determine a genotype of a particular tissue type (e.g., fetal tissue in a maternal sample or tumor tissue in a sample from a cancer patient), and/or to identify preferred ending positions for a particular tissue type, which may then be used to determine a proportional contribution of a particular tissue type.

Abstract: The present invention relates to new methods for diagnosing a pregnancy-associated disorder by analyzing fetal DNA present in the mother's blood. More specifically, this invention relies on the discovery that the maspin gene is differentially methylated in fetal DNA and in maternal DNA and provides these new diagnostic methods, which distinguish fetal DNA from maternal DNA and detect prenatal disorders based on abnormalities in fetal DNA level and methylation status.

Abstract: Methods and systems described herein involve using long cell-free DNA fragments to analyze a biological sample from a pregnant subject. The status of methylated CpG sites and single nucleotide polymorphisms (SNPs) is often used to analyze DNA fragments of a biological sample. A CpG site and a SNP are typically separated from the nearest CpG site or SNP by hundreds or thousands of base pairs. Finding two or more consecutive CpG sites or SNPs on most cell-free DNA fragments is improbable or impossible. Cell-free DNA fragments longer than 600 bp may include multiple CpG sites and/or SNPs. The presence of multiple CpG sites and/or SNPs on long cell-free DNA fragments may allow for analysis than with short cell-free DNA fragments alone. The long cell-free DNA fragments can be used to identify a tissue of origin and/or to provide information on a fetus in a pregnant female.

Abstract: Temporal variations in one or more characteristics measured from a cell-free DNA sample are used to estimate a gestational age of a fetus. Example characteristics include the methylation level measured from the cell-free DNA sample, size of DNA fragments measured from the cell-free DNA sample (e.g., proportion of fetal-derived DNA fragments longer than a specified size), and ending patterns of the DNA fragments align to a reference genome.

Abstract: Factors affecting the fragmentation pattern of cell-free DNA (e.g., plasma DNA) and the applications, including those in molecular diagnostics, of the analysis of cell-free DNA fragmentation patterns are described. Various applications can use a property of a fragmentation pattern to determine a proportional contribution of a particular tissue type, to determine a genotype of a particular tissue type (e.g., fetal tissue in a maternal sample or tumor tissue in a sample from a cancer patient), and/or to identify preferred ending positions for a particular tissue type, which may then be used to determine a proportional contribution of a particular tissue type.

Abstract: Nuclease activity can affect the methylation level and fragmentation of cfDNA. Certain levels of nuclease activity may be correlated with certain levels of methylation in certain regions. Methylation level in certain genomic regions can be analyzed to classify nuclease activity. Methylation statuses of different genomic regions compared to methylation statuses of other genomic regions can determine a level of a condition (e.g., a disease such as cancer or disorder) in a subject. Nuclease activity can be monitored through analysis of methylation statuses of different sites. The efficacy of a treatment can also be determined using methylation levels at certain genomic regions. The number of fragments from genomic regions that are hypomethylated or hypermethylated in a reference genome can be used to provide information (e.g., fractional concentration) on the sample itself. The size distribution of extrachromosomal circular DNA can also be used to analyze a biological sample. Systems are also described.

Abstract: Provided herein are methods and systems for identifying chimeric nucleic acid fragments, e.g., organism-pathogen chimeric nucleic acid fragments and chromosomal rearrangement chimeric nucleic acid fragments. Also provided herein are methods and systems relating to determining a pathogen integration profile or a chromosomal rearrangement in a biological sample and determining a classification of pathology based at least in part on a pathogen integration profile or a chromosomal rearrangement in a biological sample. In certain aspects of the present disclosure, cell-free nucleic acid molecules from a biological sample are analyzed.

Abstract: Temporal variations in one or more characteristics measured from a cell-free DNA sample are used to estimate a gestational age of a fetus. Example characteristics include the methylation level measured from the cell-free DNA sample, size of DNA fragments measured from the cell-free DNA sample (e.g., proportion of fetal-derived DNA fragments longer than a specified size), and ending patterns of the DNA fragments align to a reference genome.

Abstract: Diseases (e.g., cancer) of a particular organ can be detected by analyzing cell-free DNA. Some embodiments may use an organ-associated sample that is from a particular organ or passes through the particular organ, as may occur, for example, in urine, saliva, blood, and stool samples. In some embodiments, methylation levels of cell-free DNA can be measured in a sample. Tissue-specific methylation patterns can be used to determine fractional contributions from different tissue types. In other embodiments, sizes of organ-associated cell-free DNA can be measured. A statistical measure of the size profile may indicate that cell-free DNA fragments are collectively longer than expected for subjects with healthy tissue compared to non-healthy tissue. In other embodiments, two different samples can be analyzed to determine whether a particular organ has cancer. Cell-free DNA in a blood sample and organ-associated sample can both be analyzed to identify chromosomal regions exhibiting a copy number aberration.

Abstract: Various embodiments are directed to applications (e.g., classification of biological samples) of the analysis of the count, the fragmentation patterns, and size of cell-free nucleic acids, e.g., plasma DNA and serum DNA, including nucleic acids from pathogens, such as viruses. Embodiments of one application can determine if a subject has a particular condition. For example, a method of present disclosure can determine if a subject has cancer or a tumor, or other pathology. Embodiments of another application can be used to assess the stage of a condition, or the progression of a condition over time. For example, a method of the present disclosure may be used to determine a stage of cancer in a subject, or the progression of cancer in a subject over time (e.g., using samples obtained from a subject at different times).

Abstract: Systems, methods, and apparatus for determining a fractional concentration of fetal DNA in a biological sample are provided. The biological sample may be enriched for nucleic acid molecules in a target region. A plurality of nucleic acid molecules from the enriched biological sample may be sequenced specific to the target region. One or more first loci may be determined. The fetal genome is heterozygous at each first loci such that the fetal genome has a respective first and second allele at that first loci. The maternal genome is homozygous at each first loci such that the maternal genome. For at least one of the first loci, a first number of counts of the respective first allele and a second number of counts of the respective second allele may be determined. The fractional concentration may be determined based on the first and second numbers.

Abstract: Systems and methods for determining base modifications using electrical signals and other data is described herein. Embodiments can make use of features derived from electrical signals related to sequencing, such as those acquired from using a nanopore, that are affected by the various base modifications, as well as an identity of nucleotides in a window around a target position whose methylation status is determined. Other features may include a vector of statistical values of a segment of the electrical signal corresponding to the nucleotide and a statistical value of the electrical signal in a window in a region of the nucleic acid molecule. The detected base modifications can be used for additional analysis of a biological sample.

Abstract: Systems and methods for using determination of base modification in analyzing nucleic acid molecules and acquiring data for analysis of nucleic acid molecules are described herein. Base modifications may include methylations. Methods to determine base modifications may include using features derived from sequencing. These features may include the pulse width of an optical signal from sequencing bases, the interpulse duration of bases, and the identity of the bases. Machine learning models can be trained to detect the base modifications using these features. The relative modification or methylation levels between haplotypes may indicate a disorder. Modification or methylation statuses may also be used to detect chimeric molecules.

Abstract: Methods are provided to improve the positive predictive value for cancer detection using cell-free nucleic acid samples. Various embodiments are directed to applications (e.g., diagnostic applications) of the analysis of the fragmentation patterns and size of cell-free DNA, e.g., plasma DNA and serum DNA, including nucleic acids from pathogens, including viruses. Embodiments of one application can determine if a subject has a particular condition. For example, a method of present disclosure can determine if a subject has cancer or a tumor, or other pathology. Embodiments of another application can be used to assess the stage of a condition, or the progression of a condition over time. For example, a method of the present disclosure may be used to determine a stage of cancer in a subject, or the progression of cancer in a subject over time (e.g., using samples obtained from a subject at different times).

Abstract: Provided herein are methods and systems for identifying chimeric nucleic acid fragments, e.g., organism-pathogen chimeric nucleic acid fragments and chromosomal rearrangement chimeric nucleic acid fragments. Also provided herein are methods and systems relating to determining a pathogen integration profile or a chromosomal rearrangement in a biological sample and determining a classification of pathology based at least in part on a pathogen integration profile or a chromosomal rearrangement in a biological sample. In certain aspects of the present disclosure, cell-free nucleic acid molecules from a biological sample are analyzed.